An initial assessment of discriminant surface complexity for power law features
- 1 May 1992
- journal article
- research article
- Published by SAGE Publications in SIMULATION
- Vol. 58 (5) , 311-318
- https://doi.org/10.1177/003754979205800503
Abstract
The detection of man-made objects in natural terrain is important in both the targeting and terminal homing phase of modern warfare. The presence of man-made objects in gray-scale images has been successfully detected using a new class of density estimation neural networks to analyze power law signatures. The complex nature of the discriminant surface relating these features has been elucidated using these adaptive mixture networks.Keywords
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